Malaria and typhoid fever are infectious and communicable diseases. Malaria remains one of the largest killer diseases in the world caused by one or more species of plasmodium parasites. Typhoid fever, also known as enteric fever, is a systemic bacterial infection disease caused by a highly virulent and invasive Salmonella enterica serovar Typhi (S. Typhi). Malaria and typhoid fever co-infection is the most endemic disease and a major public health problem in many tropical developing countries. Both diseases share similar transmission factor and often have the similar symptom. Because of the high prevalence of malaria and typhoid fever in these developing countries, co-infections are common. In addition to true co-infection of malaria and typhoid fever, the major challenges on managing controlling these diseases are false diagnoses due to similar signs and symptoms and false positive results in testing methods. In this study, we have formulated a mathematical model based on a system of non-linear first order ordinary differential equations to study the dynamics of the co-infection dynamics of plasmodium vivax- typhoid fever and plasmodium falciparum -typhoid fever. We have proved the existence of the disease free and endemic equilibrium points of the model and we used a non-linear stability analysis method to prove the local and global stabilities of these equilibrium points. Further, the positivity and boundedness of the solution of the model developed is verified to discover that the model equation is mathematically and epidemiologically well posed. We obtained the basic reproduction number R_{0} for the co-infection dynamics of plasmodium vivax, plasmodium falciparum and typhoid fever diseases in terms of the three basic reproduction numbers of the separate diseases using the standard data obtained from different sources. The separate diseases disappear from the community whenever the reproduction number R_{0} is very small and less than unity. On the other hand, the diseases co-exist whenever their reproduction numbers exceed unity (regardless which of the numbers is larger). The sensitivity analysis is discussed in detail to identify the most influential parameters that enhance the co-infection of malaria and typhoid fever disease in a given population. Numerical simulation is also done to illustrate the influence of different parameters on the basic reproduction number.
Published in | Mathematical Modelling and Applications (Volume 7, Issue 1) |
DOI | 10.11648/j.mma.20220701.11 |
Page(s) | 1-25 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2022. Published by Science Publishing Group |
Infectious Disease, Typhoid Fever, Malaria, Plasmodium Falciparum, Plasmodium Vivax, Co-infection
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APA Style
Zeleke Amare Workie, Purnachandra Rao Koya. (2022). Mathematical Modelling of the Co-Infection Dynamics of Typhoid Fever with Plasmodium Vivax and Plasmodium Falciparum with Treatment. Mathematical Modelling and Applications, 7(1), 1-25. https://doi.org/10.11648/j.mma.20220701.11
ACS Style
Zeleke Amare Workie; Purnachandra Rao Koya. Mathematical Modelling of the Co-Infection Dynamics of Typhoid Fever with Plasmodium Vivax and Plasmodium Falciparum with Treatment. Math. Model. Appl. 2022, 7(1), 1-25. doi: 10.11648/j.mma.20220701.11
@article{10.11648/j.mma.20220701.11, author = {Zeleke Amare Workie and Purnachandra Rao Koya}, title = {Mathematical Modelling of the Co-Infection Dynamics of Typhoid Fever with Plasmodium Vivax and Plasmodium Falciparum with Treatment}, journal = {Mathematical Modelling and Applications}, volume = {7}, number = {1}, pages = {1-25}, doi = {10.11648/j.mma.20220701.11}, url = {https://doi.org/10.11648/j.mma.20220701.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mma.20220701.11}, abstract = {Malaria and typhoid fever are infectious and communicable diseases. Malaria remains one of the largest killer diseases in the world caused by one or more species of plasmodium parasites. Typhoid fever, also known as enteric fever, is a systemic bacterial infection disease caused by a highly virulent and invasive Salmonella enterica serovar Typhi (S. Typhi). Malaria and typhoid fever co-infection is the most endemic disease and a major public health problem in many tropical developing countries. Both diseases share similar transmission factor and often have the similar symptom. Because of the high prevalence of malaria and typhoid fever in these developing countries, co-infections are common. In addition to true co-infection of malaria and typhoid fever, the major challenges on managing controlling these diseases are false diagnoses due to similar signs and symptoms and false positive results in testing methods. In this study, we have formulated a mathematical model based on a system of non-linear first order ordinary differential equations to study the dynamics of the co-infection dynamics of plasmodium vivax- typhoid fever and plasmodium falciparum -typhoid fever. We have proved the existence of the disease free and endemic equilibrium points of the model and we used a non-linear stability analysis method to prove the local and global stabilities of these equilibrium points. Further, the positivity and boundedness of the solution of the model developed is verified to discover that the model equation is mathematically and epidemiologically well posed. We obtained the basic reproduction number R0 for the co-infection dynamics of plasmodium vivax, plasmodium falciparum and typhoid fever diseases in terms of the three basic reproduction numbers of the separate diseases using the standard data obtained from different sources. The separate diseases disappear from the community whenever the reproduction number R0 is very small and less than unity. On the other hand, the diseases co-exist whenever their reproduction numbers exceed unity (regardless which of the numbers is larger). The sensitivity analysis is discussed in detail to identify the most influential parameters that enhance the co-infection of malaria and typhoid fever disease in a given population. Numerical simulation is also done to illustrate the influence of different parameters on the basic reproduction number.}, year = {2022} }
TY - JOUR T1 - Mathematical Modelling of the Co-Infection Dynamics of Typhoid Fever with Plasmodium Vivax and Plasmodium Falciparum with Treatment AU - Zeleke Amare Workie AU - Purnachandra Rao Koya Y1 - 2022/01/24 PY - 2022 N1 - https://doi.org/10.11648/j.mma.20220701.11 DO - 10.11648/j.mma.20220701.11 T2 - Mathematical Modelling and Applications JF - Mathematical Modelling and Applications JO - Mathematical Modelling and Applications SP - 1 EP - 25 PB - Science Publishing Group SN - 2575-1794 UR - https://doi.org/10.11648/j.mma.20220701.11 AB - Malaria and typhoid fever are infectious and communicable diseases. Malaria remains one of the largest killer diseases in the world caused by one or more species of plasmodium parasites. Typhoid fever, also known as enteric fever, is a systemic bacterial infection disease caused by a highly virulent and invasive Salmonella enterica serovar Typhi (S. Typhi). Malaria and typhoid fever co-infection is the most endemic disease and a major public health problem in many tropical developing countries. Both diseases share similar transmission factor and often have the similar symptom. Because of the high prevalence of malaria and typhoid fever in these developing countries, co-infections are common. In addition to true co-infection of malaria and typhoid fever, the major challenges on managing controlling these diseases are false diagnoses due to similar signs and symptoms and false positive results in testing methods. In this study, we have formulated a mathematical model based on a system of non-linear first order ordinary differential equations to study the dynamics of the co-infection dynamics of plasmodium vivax- typhoid fever and plasmodium falciparum -typhoid fever. We have proved the existence of the disease free and endemic equilibrium points of the model and we used a non-linear stability analysis method to prove the local and global stabilities of these equilibrium points. Further, the positivity and boundedness of the solution of the model developed is verified to discover that the model equation is mathematically and epidemiologically well posed. We obtained the basic reproduction number R0 for the co-infection dynamics of plasmodium vivax, plasmodium falciparum and typhoid fever diseases in terms of the three basic reproduction numbers of the separate diseases using the standard data obtained from different sources. The separate diseases disappear from the community whenever the reproduction number R0 is very small and less than unity. On the other hand, the diseases co-exist whenever their reproduction numbers exceed unity (regardless which of the numbers is larger). The sensitivity analysis is discussed in detail to identify the most influential parameters that enhance the co-infection of malaria and typhoid fever disease in a given population. Numerical simulation is also done to illustrate the influence of different parameters on the basic reproduction number. VL - 7 IS - 1 ER -